# Copyright (c) 2023 Agung Wijaya # Installing Gradio via Dockerfile # pull docker FROM python:3.8.16-slim-bullseye # install virtualenv RUN apt update \ && apt install -y aria2 wget curl tree unzip ffmpeg build-essential \ && rm -rf /var/lib/apt/lists/* # clean up RUN apt-get clean; \ rm -rf /etc/machine-id /var/lib/dbus/machine-id /var/lib/apt/lists/* /tmp/* /var/tmp/*; \ find /var/log -name "*.log" -type f -delete # set tmp RUN mkdir -p /content/tmp RUN chmod -R 777 /content/tmp RUN rm -rf /tmp RUN ln -s /content/tmp /tmp # make dir RUN mkdir -p /content RUN chmod -R 777 /content # try fix mplconfigdir RUN mkdir -p /content/mplconfig RUN chmod -R 777 /content/mplconfig # try fix # RuntimeError: cannot cache function '__shear_dense': no locator available for file '/usr/local/lib/python3.8/site-packages/librosa/util/utils.py' RUN mkdir -p /content/numbacache RUN chmod -R 777 /content/numbacache # try fix # PermissionError: [Errno 13] Permission denied: '/.cache' (demucs) RUN mkdir -p /content/demucscache RUN chmod -R 777 /content/demucscache RUN ln -s /content/demucscache /.cache # set workdir WORKDIR /content # set environment # PYTORCH_NO_CUDA_MEMORY_CACHING is can help users with even smaller RAM such as 2GB (Demucs) ENV PYTORCH_NO_CUDA_MEMORY_CACHING=1 \ MPLCONFIGDIR=/content/mplconfig \ NUMBA_CACHE_DIR=/content/numbacache # upgrade pip RUN python -m pip install --no-cache-dir --upgrade pip # install library RUN pip install --no-cache-dir --upgrade gradio RUN pip install --no-cache-dir --upgrade setuptools wheel RUN pip install --no-cache-dir faiss-gpu fairseq gradio ffmpeg ffmpeg-python praat-parselmouth pyworld numpy==1.23.5 numba==0.56.4 librosa==0.9.2 # copying requirements.txt COPY requirements.txt /content/requirements.txt # install requirements RUN pip install --no-cache-dir --upgrade -r requirements.txt # copying files COPY . . # download hubert_base RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt -d /content -o hubert_base.pt # download library infer_pack RUN mkdir -p infer_pack RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://raw.githubusercontent.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/main/infer_pack/attentions.py -d /content/infer_pack -o attentions.py RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://raw.githubusercontent.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/main/infer_pack/commons.py -d /content/infer_pack -o commons.py RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://raw.githubusercontent.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/main/infer_pack/models.py -d /content/infer_pack -o models.py RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://raw.githubusercontent.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/main/infer_pack/models_onnx.py -d /content/infer_pack -o models_onnx.py RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://raw.githubusercontent.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/main/infer_pack/models_onnx_moess.py -d /content/infer_pack -o models_onnx_moess.py RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://raw.githubusercontent.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/main/infer_pack/modules.py -d /content/infer_pack -o modules.py RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://raw.githubusercontent.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/main/infer_pack/transforms.py -d /content/infer_pack -o transforms.py # download library infer_pipeline.py RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/spaces/DJQmUKV/rvc-inference/raw/main/vc_infer_pipeline.py -d /content -o vc_infer_pipeline.py # download library config.py and util.py RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/spaces/DJQmUKV/rvc-inference/raw/main/config.py -d /content -o config.py RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/spaces/DJQmUKV/rvc-inference/raw/main/util.py -d /content -o util.py # check /tmp RUN ls -l /tmp # expose port gradio EXPOSE 7860 # run app CMD ["python", "app.py"] # Enjoy run Gradio!